Triple
T8741690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SBI |
E207516
|
entity |
| Predicate | relatedIdentifierType |
P33159
|
FINISHED |
| Object | IATA airline designator |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: IATA airline designator | Statement: [SBI, relatedIdentifierType, IATA airline designator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedIdentifierType Context triple: [SBI, relatedIdentifierType, IATA airline designator]
-
A.
relatedIdentifier
chosen
Indicates that one identifier is associated with another identifier that refers to the same or a related entity in a different context or system.
-
B.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
C.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
-
D.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
E.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d6fd5dc8190906b7147f27c5d46 |
completed | March 31, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:38 p.m.